Skip to content

What we do, in plain language

A plain-language tour of how Idealogic works with clients across discovery sprints, dedicated build engagements, and post-launch care contracts, plus what we deliberately decline.

Published: Updated: Reading time: 4 min
On this page

Idealogic designs, engineers, and operates custom digital products for teams that need software to hold up in production. Founded in 2016 and headquartered in Tallinn, Estonia (Idealogic Development OÜ), we combine product design, full-stack web and mobile engineering, applied AI, and blockchain engineering inside single senior squads rather than handing projects across disconnected agency departments.

Most software failures trace back to the gap between what a business thought it asked for and what an engineering team actually built. Research from the National Institute of Standards and Technology (NIST Planning Report 02-3) demonstrates that architectural and requirements defects caught after production release cost 15 to 30 times more to fix than those resolved during initial specification. Everything about how we structure engagements is designed to surface those risks in week two instead of month six.

Three ways teams work with us

Rather than forcing every client into a single billing template, we run three distinct engagement models depending on where your product sits in its lifecycle.

1. Discovery sprints and technical assessments

When you have a validated business thesis, an upcoming board or fundraising milestone, or an inherited codebase that is stalling delivery, starting straight in code is a gamble. We run a two-to-three-week fixed-scope discovery sprint or technical due diligence audit first.

You leave with four concrete artifacts you own regardless of who writes the code next:

  • Scope and user-journey map separating what belongs in the minimum viable product (MVP) from what should wait until real user telemetry arrives.
  • Interactive UI prototype and design tokens built in Figma so stakeholders and early users can test the core workflow before backend sprints start.
  • Target system architecture covering data models, third-party API integrations, security controls mapped to the OWASP Application Security Verification Standard (ASVS), and cloud unit economics.
  • Milestone delivery plan and fixed-band estimate breaking the build into two-week increments with explicit acceptance gates.

2. Full-cycle build engagements

When it is time to ship a new product from scratch or rebuild a core platform, we assemble a dedicated cross-functional squad led by a senior tech lead and product manager. That squad takes an idea to a launched product in 8 to 16 weeks, or delivers a larger custom software platform across phased quarterly releases.

Every two-week sprint ends with a live working demo running in a staging environment inside your own cloud account, not a slide deck of percentage-complete bars. Quality attributes follow the ISO/IEC 25010 software product quality model: automated CI/CD pipelines, infrastructure-as-code, structured observability, and role-based access control ship in sprint one rather than getting bolted on the week before launch.

3. Dedicated squads and post-launch care contracts

Launching version one is the starting line. After release, teams either transition into a dedicated development team that continues shipping product roadmap milestones alongside your internal leaders, or move onto a structured care contract covering:

  • Uptime monitoring, incident response, and dependency security patching.
  • Annual iOS, Android, and cloud runtime upgrades so mobile stores and compliance auditors never block a release.
  • Continuous performance profiling and database tuning as real user traffic scales.

Because our engineering hubs operate across European Union and Eastern European time zones, our cost structure reflects Eurostat ICT labor cost benchmarks (lc_lci_lev) while maintaining full workday overlap with London, Berlin, Tallinn, and US East Coast product teams.

Core practices and industry depth

We organize our engineering work across six technical practices and eight regulated or high-complexity industries where our teams have shipped production systems:

What we deliberately do not do

Knowing whether we are the wrong partner saves everyone time. We turn down three categories of work:

  • Pure visual design with no engineering accountability. A Figma file that ignores database constraints, API latency, or W3C WCAG 2.2 accessibility rules creates expensive rework the moment developers open it.
  • Unquestioning ticket assembly. If a feature on your backlog will double cloud infrastructure spend or create a vendor lock-in trap without moving user retention, our engineers are expected to tell you before writing the code.
  • Throwaway "demo-ware" sold as an MVP. A clickable prototype or proof of concept has a legitimate place when testing a narrow hypothesis, and we build them when appropriate, but we never pass off unauthenticated, unscalable throwaway code as a production foundation.

Frequently asked questions

  • Idealogic (Idealogic Development OÜ, registered in Tallinn, Estonia under registry code 14895199) is a senior-led, AI-native software engineering and product design partner founded in 2016. We scope, design, build, and operate web, mobile, AI, and blockchain systems for funded startups and mid-market enterprises across Europe, the UK, and North America.

  • A discovery sprint is a fixed-scope, fixed-price engagement lasting two to three weeks. A product architect, a senior UI/UX designer, and a domain tech lead turn a high-level brief into a clickable Figma prototype, an architectural decision record, an integration risk register, and a milestone-by-milestone build budget that you own outright.

  • Yes. Every Idealogic contract assigns 100% of custom source code, design tokens, database schemas, infrastructure-as-code templates, and technical documentation to the client upon payment. Code lives in your GitHub or GitLab organization from week one, so there is never a hostage repository or a proprietary black-box runtime.

  • Standalone discovery sprints and AI or technical readiness assessments start between $10,000 and $25,000 over two to four weeks. Full-cycle MVP and custom product builds typically start at $25,000 to $45,000 for an 8 to 16 week release, while dedicated engineering squads run on transparent monthly retainers.

  • We decline pure visual design without engineering follow-through, body-shop ticket factories where engineers are barred from questioning broken product assumptions, and unverified throwaway prototypes disguised as production software. If a requirement can be solved better by buying an off-the-shelf SaaS tool than writing custom code, we tell you during discovery.

Still unanswered
Ask us directly

A senior engineer replies under 4 hours.